Genomic investigation of atypical malaria cases in Kanel, northern Senegal

Malaria Journal

Aida Sadikh Badiane¹  Awa Bineta Deme¹  Daouda Ndiaye¹  Mouhamad Sy¹  Tolla Ndiaye¹  Amy Gaye¹  Yaye Die Ndiaye¹  Khadim Diongue¹  Ibrahima Mbaye Ndiaye¹  Mamadou Alpha Diallo¹  Baba Dieye¹  Mame Cheikh Seck¹  Yakou Dieye²  Tamba Souané²  Alioune Badara Gueye³  Moustapha Cissé³  Doudou Sène³  Fatou Ba Fall³  Katherine J. Siddle⁴  Bronwyn MacInnis⁴  Sarah K. Volkman⁴  Dyann F. Wirth⁴ 

[1] Laboratory of Parasitology and Mycology, Aristide le Dantec Hospital, Cheikh Anta Diop University;Malaria Control and Evaluation Partnership in Africa PATH-MACEPA;Senegal National Malaria Control Programme;The Broad Institute of MIT and Harvard;

关键词: Plasmodium falciparum;    Investigation;    Genetic surveillance;    Serology;    Metagenomic sequencing;    Infectious disease;   

DOI  :  10.1186/s12936-021-03637-x

来源: DOAJ

【 摘 要 】

Abstract Background The diagnosis of malaria cases in regions where the malaria burden has decreased significantly and prevalence is very low is more challenging, in part because of reduced clinical presumption of malaria. The appearance of a cluster of malaria cases with atypical symptoms in Mbounguiel, a village in northern Senegal where malaria transmission is low, in September 2018 exemplifies this scenario. The collaboration between the National Malaria Control Programme (NMCP) at the Senegal Ministry of Health and the Laboratory of Parasitology and Mycology at Cheikh Anta Diop University worked together to evaluate this cluster of malaria cases using molecular and serological tools. Methods Malaria cases were diagnosed primarily by rapid diagnostic test (RDT), and confirmed by photo-induced electron transfer-polymerase chain reaction (PET-PCR). 24 single nucleotide polymorphisms (SNPs) barcoding was used for Plasmodium falciparum genotyping. Unbiased metagenomic sequencing and Luminex-based multi-pathogen antibody and antigen profiling were used to assess exposure to other pathogens. Results Nine patients, of 15 suspected cases, were evaluated, and all nine samples were found to be positive for P. falciparum only. The 24 SNPs molecular barcode showed the predominance of polygenomic infections, with identifiable strains being different from one another. All patients tested positive for the P. falciparum antigens. No other pathogenic infection was detected by either the serological panel or metagenomic sequencing. Conclusions This work, undertaken locally within Senegal as a collaboration between the NMCP and a research laboratory at University of Cheikh Anta Diop (UCAD) revealed that a cluster of malaria cases were caused by different strains of P. falciparum. The public health response in real time demonstrates the value of local molecular and genomics capacity in affected countries for disease control and elimination.

【 授权许可】

Unknown